Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3678
Missing cells	6712
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.3 MiB
Average record size in memory	668.1 B

Variable types

Categorical	13
Numeric	10

Alerts

`society` has a high cardinality: 676 distinct values	High cardinality
`sector` has a high cardinality: 115 distinct values	High cardinality
`areaWithType` has a high cardinality: 2355 distinct values	High cardinality
`price` is highly overall correlated with `price_per_sqft` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`area` is highly overall correlated with `price` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `price` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `price` and 5 other fields	High correlation
`super_built_up_area` is highly overall correlated with `price` and 7 other fields	High correlation
`built_up_area` is highly overall correlated with `price` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `price` and 5 other fields	High correlation
`property_type` is highly overall correlated with `price` and 2 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1803 (49.0%) missing values	Missing
`built_up_area` has 1988 (54.1%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73500562)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70657243)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33967469)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2024-09-13 17:24:22.262227
Analysis finished	2024-09-13 17:24:55.330393
Duration	33.07 seconds
Software version	pandas-profiling vv3.6.3
Download configuration	config.json

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.7 KiB

flat	2819
house	859

Length

Max length	5
Median length	4
Mean length	4.2335508
Min length	4

Characters and Unicode

Total characters	15571
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	house
2nd row	flat
3rd row	house
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15571	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15571	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Categorical

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	294.0 KiB

independent	486
tulip violet	75
ss the leaf	73
shapoorji pallonji joyville gurugram	42
dlf new town heights	42
Other values (671)	2959

Length

Max length	49
Median length	39
Mean length	16.870003
Min length	1

Characters and Unicode

Total characters	62031
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	307 ?
Unique (%)	8.3%

Sample

1st row	arjun marg/ sector- 26 phase- 1/ golf course road
2nd row	pivotal riddhi siddhi
3rd row	unitech espace
4th row	godrej nature plus
5th row	godrej nature plus

Common Values

Value	Count	Frequency (%)
independent	486	13.2%
tulip violet	75	2.0%
ss the leaf	73	2.0%
shapoorji pallonji joyville gurugram	42	1.1%
dlf new town heights	42	1.1%
signature global park	35	1.0%
shree vardhman victoria	34	0.9%
smart world orchard	32	0.9%
emaar mgf emerald floors premier	32	0.9%
dlf the ultima	31	0.8%
Other values (666)	2795	76.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.5%
heights	134	1.4%
Other values (783)	7500	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6710	10.8%
	6005	9.7%
a	5861	9.4%
r	4173	6.7%
n	4163	6.7%
i	3831	6.2%
t	3719	6.0%
s	3473	5.6%
l	2946	4.7%
o	2758	4.4%
Other values (31)	18392	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55481	89.4%
Space Separator	6005	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4173	7.5%
n	4163	7.5%
i	3831	6.9%
t	3719	6.7%
s	3473	6.3%
l	2946	5.3%
o	2758	5.0%
d	2489	4.5%
Other values (16)	15358	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
9	13	2.5%
0	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6005	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55481	89.4%
Common	6550	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4173	7.5%
n	4163	7.5%
i	3831	6.9%
t	3719	6.7%
s	3473	6.3%
l	2946	5.3%
o	2758	5.0%
d	2489	4.5%
Other values (16)	15358	27.7%

Common

Value	Count	Frequency (%)
	6005	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
9	13	0.2%
0	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62031	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6710	10.8%
	6005	9.7%
a	5861	9.4%
r	4173	6.7%
n	4163	6.7%
i	3831	6.2%
t	3719	6.0%
s	3473	5.6%
l	2946	4.7%
o	2758	4.4%
Other values (31)	18392	29.6%

sector
Categorical

Distinct	115
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

sohna road	153
sector 85	108
sector 102	107
sector 92	99
sector 69	93
Other values (110)	3118

Length

Max length	26
Median length	9
Mean length	9.3175639
Min length	3

Characters and Unicode

Total characters	34270
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 26
2nd row	sector 99
3rd row	sector 50
4th row	sector 33
5th row	sector 33

Common Values

Value	Count	Frequency (%)
sohna road	153	4.2%
sector 85	108	2.9%
sector 102	107	2.9%
sector 92	99	2.7%
sector 69	93	2.5%
sector 90	89	2.4%
sector 81	87	2.4%
sector 65	87	2.4%
sector 109	85	2.3%
sector 79	76	2.1%
Other values (105)	2694	73.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3450	46.7%
road	177	2.4%
sohna	165	2.2%
85	108	1.5%
102	107	1.4%
92	99	1.3%
69	93	1.3%
90	89	1.2%
81	87	1.2%
65	87	1.2%
Other values (107)	2923	39.6%

Most occurring characters

Value	Count	Frequency (%)
o	3803	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3549	10.4%
c	3501	10.2%
t	3461	10.1%
1	1074	3.1%
0	802	2.3%
8	778	2.3%
Other values (21)	6207	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23305	68.0%
Decimal Number	7258	21.2%
Space Separator	3707	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3803	16.3%
s	3694	15.9%
r	3694	15.9%
e	3549	15.2%
c	3501	15.0%
t	3461	14.9%
a	697	3.0%
d	248	1.1%
n	229	1.0%
h	202	0.9%
Other values (10)	227	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1074	14.8%
0	802	11.0%
8	778	10.7%
9	762	10.5%
6	740	10.2%
7	682	9.4%
2	679	9.4%
3	666	9.2%
5	592	8.2%
4	483	6.7%

Space Separator

Value	Count	Frequency (%)
	3707	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23305	68.0%
Common	10965	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3803	16.3%
s	3694	15.9%
r	3694	15.9%
e	3549	15.2%
c	3501	15.0%
t	3461	14.9%
a	697	3.0%
d	248	1.1%
n	229	1.0%
h	202	0.9%
Other values (10)	227	1.0%

Common

Value	Count	Frequency (%)
	3707	33.8%
1	1074	9.8%
0	802	7.3%
8	778	7.1%
9	762	6.9%
6	740	6.7%
7	682	6.2%
2	679	6.2%
3	666	6.1%
5	592	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34270	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3803	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3549	10.4%
c	3501	10.2%
t	3461	10.1%
1	1074	3.1%
0	802	2.3%
8	778	2.3%
Other values (21)	6207	18.1%

price
Real number (ℝ)

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5341464

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9803593
Coefficient of variation (CV)	1.1760801
Kurtosis	14.932733
Mean	2.5341464
Median Absolute Deviation (MAD)	0.72
Skewness	3.2787171
Sum	9277.51
Variance	8.8825413
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	64	1.7%
1.2	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.5%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3059	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.662

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4716
Q1	6818
median	9020
Q3	13878
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7060

Descriptive statistics

Standard deviation	23206.896
Coefficient of variation (CV)	1.6704427
Kurtosis	186.97985
Mean	13892.662
Median Absolute Deviation (MAD)	2795
Skewness	11.438752
Sum	50861036
Variance	5.3856003 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
22222	13	0.4%
6666	13	0.4%
11111	13	0.4%
8333	12	0.3%
7500	12	0.3%
6000	11	0.3%
Other values (2641)	3510	95.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.389

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1233
median	1733
Q3	2300
95-th percentile	4246
Maximum	875000
Range	874950
Interquartile range (IQR)	1067

Descriptive statistics

Standard deviation	23164.341
Coefficient of variation (CV)	8.0198136
Kurtosis	942.28654
Mean	2888.389
Median Absolute Deviation (MAD)	533
Skewness	29.735006
Sum	10574392
Variance	5.365867 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3268	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Categorical

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.2 KiB

Plot area 360(301.01 sq.m.)	37
Plot area 300(250.84 sq.m.)	26
Plot area 502(419.74 sq.m.)	19
Plot area 200(167.23 sq.m.)	19
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17
Other values (2350)	3560

Length

Max length	124
Median length	119
Mean length	54.229201
Min length	12

Characters and Unicode

Total characters	199455
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Plot area 1000(836.13 sq.m.)
2nd row	Carpet area: 706
3rd row	Plot area 360(301.01 sq.m.)
4th row	Built Up area: 1996 (185.43 sq.m.)
5th row	Carpet area: 76.44

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	37	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 502(419.74 sq.m.)	19	0.5%
Plot area 200(167.23 sq.m.)	19	0.5%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.5%
Plot area 270(225.75 sq.m.)	17	0.5%
Super Built up area 1350(125.42 sq.m.)	15	0.4%
Super Built up area 2010(186.74 sq.m.)	14	0.4%
Super Built up area 1650(153.29 sq.m.)Carpet area: 1022.58 sq.ft. (95 sq.m.)	14	0.4%
Other values (2345)	3483	94.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5574	18.5%
sq.m	3656	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	684	2.3%
plot	681	2.3%
Other values (2846)	8702	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26468	13.3%
.	20391	10.2%
a	13157	6.6%
r	9458	4.7%
e	9322	4.7%
1	9206	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6770	3.4%
Other values (25)	82358	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82770	41.5%
Decimal Number	47142	23.6%
Space Separator	26468	13.3%
Other Punctuation	23409	11.7%
Uppercase Letter	8594	4.3%
Close Punctuation	5536	2.8%
Open Punctuation	5536	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13157	15.9%
r	9458	11.4%
e	9322	11.3%
s	7568	9.1%
q	7432	9.0%
t	7325	8.8%
u	6770	8.2%
p	6768	8.2%
m	5545	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9206	19.5%
0	6630	14.1%
2	5689	12.1%
5	4714	10.0%
3	3961	8.4%
4	3711	7.9%
6	3674	7.8%
7	3254	6.9%
8	3159	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1873	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20391	87.1%
:	3018	12.9%

Space Separator

Value	Count	Frequency (%)
	26468	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5536	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5536	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108091	54.2%
Latin	91364	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13157	14.4%
r	9458	10.4%
e	9322	10.2%
s	7568	8.3%
q	7432	8.1%
t	7325	8.0%
u	6770	7.4%
p	6768	7.4%
m	5545	6.1%
l	3701	4.1%
Other values (10)	14318	15.7%

Common

Value	Count	Frequency (%)
	26468	24.5%
.	20391	18.9%
1	9206	8.5%
0	6630	6.1%
2	5689	5.3%
)	5536	5.1%
(	5536	5.1%
5	4714	4.4%
3	3961	3.7%
4	3711	3.4%
Other values (5)	16249	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199455	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26468	13.3%
.	20391	10.2%
a	13157	6.6%
r	9458	4.7%
e	9322	4.7%
1	9206	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6770	3.4%
Other values (25)	82358	41.3%

bedRoom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3602501

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8974002
Coefficient of variation (CV)	0.5646604
Kurtosis	18.216047
Mean	3.3602501
Median Absolute Deviation (MAD)	1
Skewness	3.4851888
Sum	12359
Variance	3.6001274
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	661	18.0%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	661	18.0%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4249592

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9479764
Coefficient of variation (CV)	0.56875901
Kurtosis	17.537825
Mean	3.4249592
Median Absolute Deviation (MAD)	1
Skewness	3.2478883
Sum	12597
Variance	3.7946121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	295	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	295	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.2 KiB

3+	1173
3	1074
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3189233
Min length	1

Characters and Unicode

Total characters	4851
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3+
2nd row	2
3rd row	3+
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
3+	1173	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2247	46.3%
+	1173	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	75.8%
Math Symbol	1173	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1173	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4851	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2247	46.3%
+	1173	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2247	46.3%
+	1173	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7974857

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0118103
Coefficient of variation (CV)	0.88441678
Kurtosis	4.5174311
Mean	6.7974857
Median Absolute Deviation (MAD)	3
Skewness	1.6941339
Sum	24872
Variance	36.141864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	317	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	317	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	225.5 KiB

East	624
North-East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.837068
Min length	4

Characters and Unicode

Total characters	18002
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-East
2nd row	East
3rd row	East
4th row	North
5th row	South

Common Values

Value	Count	Frequency (%)
East	624	17.0%
North-East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	624	23.7%
north-east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3775	21.0%
s	2015	11.2%
o	1760	9.8%
h	1760	9.8%
E	1420	7.9%
a	1420	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13085	72.7%
Uppercase Letter	3775	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3775	28.8%
s	2015	15.4%
o	1760	13.5%
h	1760	13.5%
a	1420	10.9%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1420	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16860	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3775	22.4%
s	2015	12.0%
o	1760	10.4%
h	1760	10.4%
E	1420	8.4%
a	1420	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18002	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3775	21.0%
s	2015	11.2%
o	1760	9.8%
h	1760	9.8%
E	1420	7.9%
a	1420	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	281.5 KiB

Relatively New	1646
New Property	594
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385536
Min length	9

Characters and Unicode

Total characters	49232
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Old
2nd row	Relatively New
3rd row	Moderately Old
4th row	Undefined
5th row	Under Construction

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	594	16.2%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2240	31.8%
relatively	1646	23.3%
property	897	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38810	78.8%
Uppercase Letter	7050	14.3%
Space Separator	3372	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8433	21.7%
l	4721	12.2%
t	3638	9.4%
y	3106	8.0%
r	2889	7.4%
d	2307	5.9%
w	2240	5.8%
i	2218	5.7%
a	2209	5.7%
o	1992	5.1%
Other values (7)	5057	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2240	31.8%
R	1646	23.3%
P	897	12.7%
O	866	12.3%
U	572	8.1%
M	563	8.0%
C	266	3.8%

Space Separator

Value	Count	Frequency (%)
	3372	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45860	93.2%
Common	3372	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8433	18.4%
l	4721	10.3%
t	3638	7.9%
y	3106	6.8%
r	2889	6.3%
d	2307	5.0%
N	2240	4.9%
w	2240	4.9%
i	2218	4.8%
a	2209	4.8%
Other values (14)	11859	25.9%

Common

Value	Count	Frequency (%)
	3372	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1803
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.6
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1803	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	644
Distinct (%)	38.1%
Missing	1988
Missing (%)	54.1%
Infinite	0
Infinite (%)	0.0%
Mean	2379.5858

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.88
Coefficient of variation (CV)	7.5403375
Kurtosis	1667.8704
Mean	2379.5858
Median Absolute Deviation (MAD)	650
Skewness	40.706572
Sum	4021500
Variance	3.2194695 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	28	0.8%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1988	54.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	733
Distinct (%)	39.1%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.4843

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	845
median	1300
Q3	1790
95-th percentile	2970
Maximum	607936
Range	607921
Interquartile range (IQR)	945

Descriptive statistics

Standard deviation	22793.75
Coefficient of variation (CV)	9.0112242
Kurtosis	604.8596
Mean	2529.4843
Median Absolute Deviation (MAD)	475
Skewness	24.339675
Sum	4737724
Variance	5.1955503 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1579	42.9%
(Missing)	1805	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2972
1	706

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2349
1	1329

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2349	63.9%
1	1329	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2349	63.9%
1	1329	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2349	63.9%
1	1329	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2349	63.9%
1	1329	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2349	63.9%
1	1329	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2349	63.9%
1	1329	36.1%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3340
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3021
1	657

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3021	82.1%
1	657	17.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3021	82.1%
1	657	17.9%

Most occurring characters

Value	Count	Frequency (%)
0	3021	82.1%
1	657	17.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3021	82.1%
1	657	17.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3021	82.1%
1	657	17.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3021	82.1%
1	657	17.9%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3273
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2417
2	1055
1	206

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	2
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2417	65.7%
2	1055	28.7%
1	206	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2417	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	2417	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2417	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2417	65.7%
2	1055	28.7%
1	206	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2417	65.7%
2	1055	28.7%
1	206	5.6%

luxury_score
Real number (ℝ)

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.517401

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.052563
Coefficient of variation (CV)	0.74181336
Kurtosis	-0.87989139
Mean	71.517401
Median Absolute Deviation (MAD)	38
Skewness	0.45884513
Sum	263041
Variance	2814.5745
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2314	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	price	price_per_sqft	area	bedRoom	bathroom	floorNum	super_built_up_area	built_up_area	carpet_area	luxury_score	property_type	balcony	facing	agePossession	study room	servant room	store room	pooja room	others	furnishing_type
price	1.000	0.744	0.744	0.681	0.720	0.001	0.772	0.605	0.614	0.215	0.542	0.136	0.021	0.102	0.244	0.369	0.303	0.335	0.034	0.175
price_per_sqft	0.744	1.000	0.207	0.417	0.411	-0.126	0.287	0.132	0.137	0.054	0.201	0.033	0.000	0.056	0.030	0.044	0.000	0.043	0.036	0.022
area	0.744	0.207	1.000	0.624	0.687	0.116	0.948	0.835	0.801	0.259	0.028	0.011	0.022	0.000	0.018	0.015	0.039	0.037	0.042	0.043
bedRoom	0.681	0.417	0.624	1.000	0.862	-0.104	0.800	0.380	0.569	0.057	0.595	0.176	0.032	0.129	0.155	0.317	0.223	0.291	0.080	0.167
bathroom	0.720	0.411	0.687	0.862	1.000	-0.005	0.819	0.465	0.599	0.179	0.471	0.226	0.044	0.111	0.176	0.520	0.244	0.286	0.070	0.198
floorNum	0.001	-0.126	0.116	-0.104	-0.005	1.000	0.152	0.091	0.158	0.232	0.484	0.079	0.000	0.125	0.079	0.083	0.112	0.103	0.033	0.017
super_built_up_area	0.772	0.287	0.948	0.800	0.819	0.152	1.000	0.926	0.894	0.222	1.000	0.306	0.000	0.086	0.121	0.584	0.046	0.157	0.084	0.134
built_up_area	0.605	0.132	0.835	0.380	0.465	0.091	0.926	1.000	0.969	0.289	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.088
carpet_area	0.614	0.137	0.801	0.569	0.599	0.158	0.894	0.969	1.000	0.239	0.000	0.026	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.000
luxury_score	0.215	0.054	0.259	0.057	0.179	0.232	0.222	0.289	0.239	1.000	0.329	0.223	0.065	0.255	0.183	0.347	0.228	0.189	0.176	0.244
property_type	0.542	0.201	0.028	0.595	0.471	0.484	1.000	0.000	0.000	0.329	1.000	0.214	0.094	0.379	0.127	0.065	0.241	0.251	0.026	0.080
balcony	0.136	0.033	0.011	0.176	0.226	0.079	0.306	0.000	0.026	0.223	0.214	1.000	0.016	0.274	0.183	0.441	0.146	0.197	0.081	0.178
facing	0.021	0.000	0.022	0.032	0.044	0.000	0.000	1.000	0.000	0.065	0.094	0.016	1.000	0.092	0.000	0.035	0.035	0.027	0.000	0.049
agePossession	0.102	0.056	0.000	0.129	0.111	0.125	0.086	0.000	0.000	0.255	0.379	0.274	0.092	1.000	0.141	0.286	0.143	0.186	0.108	0.214
study room	0.244	0.030	0.018	0.155	0.176	0.079	0.121	0.000	0.000	0.183	0.127	0.183	0.000	0.141	1.000	0.185	0.226	0.314	0.031	0.141
servant room	0.369	0.044	0.015	0.317	0.520	0.083	0.584	0.000	0.000	0.347	0.065	0.441	0.035	0.286	0.185	1.000	0.161	0.252	0.000	0.270
store room	0.303	0.000	0.039	0.223	0.244	0.112	0.046	0.000	0.000	0.228	0.241	0.146	0.035	0.143	0.226	0.161	1.000	0.305	0.106	0.157
pooja room	0.335	0.043	0.037	0.291	0.286	0.103	0.157	0.000	0.000	0.189	0.251	0.197	0.027	0.186	0.314	0.252	0.305	1.000	0.033	0.216
others	0.034	0.036	0.042	0.080	0.070	0.033	0.084	0.000	0.016	0.176	0.026	0.081	0.000	0.108	0.031	0.000	0.106	0.033	1.000	0.060
furnishing_type	0.175	0.022	0.043	0.167	0.198	0.017	0.134	0.088	0.000	0.244	0.080	0.178	0.049	0.214	0.141	0.270	0.157	0.216	0.060	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
0	house	arjun marg/ sector- 26 phase- 1/ golf course road	sector 26	31.50	35000.0	9000.0	Plot area 1000(836.13 sq.m.)	7	9	3+	3.0	North-East	Moderately Old	NaN	9000.0	NaN	1	1	1	1	1	74
1	flat	pivotal riddhi siddhi	sector 99	0.72	947.0	7603.0	Carpet area: 706	2	2	2	12.0	NaN	Relatively New	NaN	NaN	706.00	0	0	1	0	0	31
2	house	unitech espace	sector 50	10.30	31790.0	3240.0	Plot area 360(301.01 sq.m.)	5	6	3+	3.0	East	Moderately Old	NaN	3240.0	NaN	1	1	1	1	2	160
3	flat	godrej nature plus	sector 33	1.75	8768.0	1996.0	Built Up area: 1996 (185.43 sq.m.)	3	3	0	2.0	NaN	Undefined	NaN	1996.0	NaN	0	0	0	0	0	56
4	flat	godrej nature plus	sector 33	1.20	13369.0	898.0	Carpet area: 76.44	2	2	0	11.0	NaN	Under Construction	NaN	NaN	76.44	0	0	0	0	0	56
5	house	independent	sector 43	15.50	28233.0	5490.0	Plot area 610(510.04 sq.m.)	5	6	3	3.0	East	Moderately Old	NaN	5490.0	NaN	1	1	1	1	0	76
6	flat	breez global hill view	sohna road	0.35	5319.0	658.0	Built Up area: 658 (61.13 sq.m.)Carpet area: 554.17 sq.ft. (51.48 sq.m.)	2	2	2	18.0	NaN	New Property	NaN	658.0	554.17	0	0	0	0	0	15
7	flat	emaar gurgaon greens	sector 102	1.40	8484.0	1650.0	Super Built up area 1650(153.29 sq.m.)	3	3	3	4.0	North	Relatively New	1650.0	NaN	NaN	0	1	0	0	2	83
8	flat	vatika gurgaon	sector 83	1.15	5808.0	1980.0	Super Built up area 1980(183.95 sq.m.)Built Up area: 1350 sq.ft. (125.42 sq.m.)Carpet area: 1308 sq.ft. (121.52 sq.m.)	3	3	2	3.0	South	Relatively New	1980.0	1350.0	1308.00	1	1	1	1	2	165
9	house	ss aaron ville	sector 49	6.50	18808.0	3456.0	Plot area 384(321.07 sq.m.)	5	5	2	2.0	North-East	Relatively New	NaN	3456.0	NaN	1	1	0	1	2	28

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
3793	house	independent	sector 26	14.75	51864.0	2844.0	Plot area 316(264.22 sq.m.)	16	20	3+	4.0	East	New Property	NaN	2844.0	NaN	1	1	1	1	0	2	153
3794	house	vipul tatvam villa	sector 48	8.50	26235.0	3240.0	Plot area 360(301.01 sq.m.)	4	4	1	NaN	NaN	Relatively New	NaN	3240.0	NaN	0	0	0	0	0	0	21
3795	house	vipul tatvam villa	sector 48	6.40	24691.0	2592.0	Plot area 288(240.8 sq.m.)Built Up area: 240 sq.yards (200.67 sq.m.)Carpet area: 200 sq.yards (167.23 sq.m.)	3	4	3	2.0	North	Relatively New	NaN	240.0	200.000000	1	1	1	0	0	2	148
3796	flat	railway officers rpf society	sector 9a	1.25	6921.0	1806.0	Carpet area: 1806 (167.78 sq.m.)	4	3	3	1.0	NaN	Old Property	NaN	NaN	1806.000000	0	1	0	0	0	0	40
3797	flat	emaar palm gardens	sector 83	1.80	9473.0	1900.0	Super Built up area 1900(176.52 sq.m.)	3	3	3+	9.0	South	Relatively New	1900.0	NaN	NaN	0	0	0	0	0	0	55
3798	flat	rof ananda	sector 95	0.32	5827.0	549.0	Carpet area: 549.16 (51.02 sq.m.)	2	2	1	9.0	North	Relatively New	NaN	NaN	549.174178	0	0	0	1	0	2	71
3799	flat	raheja vedaanta	sector 108	0.95	5214.0	1822.0	Super Built up area 1822(169.27 sq.m.)	3	3	3	3.0	NaN	Relatively New	1822.0	NaN	NaN	0	0	0	0	1	0	95
3800	flat	breez global heights	sohna road	0.21	5329.0	394.0	Carpet area: 394 (36.6 sq.m.)	1	1	1	2.0	NaN	Relatively New	NaN	NaN	394.000000	0	0	0	0	0	0	21
3801	house	independent	sector 50	11.58	35741.0	3240.0	Plot area 360(301.01 sq.m.)	5	5	3	2.0	NaN	Moderately Old	NaN	3240.0	NaN	0	1	0	0	0	0	20
3802	flat	pioneer araya	sector 62	8.35	19513.0	4279.0	Super Built up area 4279(397.53 sq.m.)	4	6	3	16.0	East	Relatively New	4279.0	NaN	NaN	0	1	0	1	0	0	153

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII